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Investigating diesel market integration in France: Evidence from micro data

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  • Cárdenas, Jeisson
  • Gutiérrez, Luis H.
  • Otero, Jesús

Abstract

We use station-level daily price observations collected over a period of eight years to study the extent of diesel market integration in France. The empirical analysis starts off by examining the time-series properties of diesel price ratios, and then assesses how geographical separation and petrol station characteristics affect the speed of adjustment of prices to exogenous shocks. Our findings reveal that the great majority of diesel price ratios maintain stable long run relationships. We also find that while price ratios take longer to adjust for pairs of petrol stations that are farther apart, adjustment is quicker when pairs of petrol stations provide the same range of services, and when they belong to the same owner.

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  • Cárdenas, Jeisson & Gutiérrez, Luis H. & Otero, Jesús, 2017. "Investigating diesel market integration in France: Evidence from micro data," Energy Economics, Elsevier, vol. 63(C), pages 314-321.
    • Handle: RePEc:eee:eneeco:v:63:y:2017:i:c:p:314-321
    DOI: 10.1016/j.eneco.2017.03.004
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    2. Ren, Xiaohang & Lu, Zudi & Cheng, Cheng & Shi, Yukun & Shen, Jian, 2019. "On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis," Energy Economics, Elsevier, vol. 80(C), pages 234-252.
    3. Erwan Gautier & Magali Marx & Paul Vertier, 2023. "How Do Gasoline Prices Respond to a Cost Shock?," Journal of Political Economy Macroeconomics, University of Chicago Press, vol. 1(4), pages 707-741.
    4. Kumar, Satish, 2022. "Speed of adjustment in energy and metal prices: Evidence from India," Resources Policy, Elsevier, vol. 78(C).
    5. Núñez, Héctor M. & Trujillo-Barrera, Andres & Etienne, Xiaoli, 2022. "Declining integration in the US natural gas market," Resources Policy, Elsevier, vol. 78(C).
    6. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2022. "Convergence in retail gasoline prices: insights from Canadian cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(1), pages 207-228, February.
    7. Chang, Kai & Zhang, Chao, 2018. "Asymmetric dependence structure between emissions allowances and wholesale diesel/gasoline prices in emerging China's emissions trading scheme pilots," Energy, Elsevier, vol. 164(C), pages 124-136.
    8. Oladosu, Gbadebo, 2022. "Bubbles in US gasoline prices: Assessing the role of hurricanes and anti–price gouging laws," Journal of Commodity Markets, Elsevier, vol. 27(C).
    9. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Chang, Tsangyao, 2022. "Dynamic price linkage of energies in transformation: Evidence from quantile connectedness," Resources Policy, Elsevier, vol. 78(C).

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    More about this item

    Keywords

    Pair-wise; Diesel prices; Cointegration; Speed of adjustment;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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